Mode stability without symmetry assumptions is proved for self-similar wave map blowups in all dimensions d ≥ 4.
Interaction of two systems with saddle-node bifurcations on invariant circles: I. Foundations and the mutualistic case
3 Pith papers cite this work. Polarity classification is still indexing.
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ORBGRAND-AI achieves the same or lower block error rate in ISI channels without interleaving compared to CA-SCL decoding with an interleaver at equal energy per information bit.
Generalized saddle-node ghosts are defined for higher-dimensional systems with algorithms to detect ghost attractors, channels, and cycles, implemented in the PyGhostID Python package.
citing papers explorer
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Mode stability of self-similar wave maps without symmetry in higher dimensions
Mode stability without symmetry assumptions is proved for self-similar wave map blowups in all dimensions d ≥ 4.
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Decoding in the presence of ISI without interleaving -- ORBGRAND-AI
ORBGRAND-AI achieves the same or lower block error rate in ISI channels without interleaving compared to CA-SCL decoding with an interleaver at equal energy per information bit.
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Generalized saddle-node ghosts and their composite structures in dynamical systems
Generalized saddle-node ghosts are defined for higher-dimensional systems with algorithms to detect ghost attractors, channels, and cycles, implemented in the PyGhostID Python package.